RankProd

DOI: 10.18129/B9.bioc.RankProd    

Rank Product method for identifying differentially expressed genes with application in meta-analysis

Bioconductor version: Release (3.15)

Non-parametric method for identifying differentially expressed (up- or down- regulated) genes based on the estimated percentage of false predictions (pfp). The method can combine data sets from different origins (meta-analysis) to increase the power of the identification.

Author: Francesco Del Carratore <francesco.delcarratore at manchester.ac.uk>, Andris Jankevics <andris.jankevics at gmail.com> Fangxin Hong <fxhong at jimmy.harvard.edu>, Ben Wittner <Wittner.Ben at mgh.harvard.edu>, Rainer Breitling <rainer.breitling at manchester.ac.uk>, and Florian Battke <battke at informatik.uni-tuebingen.de>

Maintainer: Francesco Del Carratore <francescodc87 at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("RankProd")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("RankProd")

 

PDF	R Script	RankProd Tutorial
PDF		Reference Manual
Text		LICENSE

Details

biocViews	DifferentialExpression, GeneExpression, GeneSignaling, Lipidomics, Metabolomics, Microarray, Proteomics, ResearchField, Software, StatisticalMethod, SystemsBiology
Version	3.22.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 17.5 years)
License	file LICENSE
Depends	R (>= 3.2.1), stats, methods, Rmpfr, gmp
Imports	graphics
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	tRanslatome
Imports Me	POMA, synlet
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	RankProd_3.22.0.tar.gz
Windows Binary	RankProd_3.22.0.zip
macOS Binary (x86_64)	RankProd_3.22.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/RankProd
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/RankProd
Package Short Url	https://bioconductor.org/packages/RankProd/
Package Downloads Report	Download Stats